activity
20132023
most citedEvaluating Protein Transfer Learning with TAPE

79 citations · 440 across the 39 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020

Active Learning for Video Description With Cluster-Regularized Ensemble Ranking

David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross +1

Automatic video captioning aims to train models to generate text descriptions for all segments in a video, however, the most effective approaches require large amounts of manual an…

cs.LG2020★ 23 cited

Predictive Information Accelerates Learning in RL

Kuang-Huei Lee, Ian Fischer, Anthony Liu +4

The Predictive Information is the mutual information between the past and the future, I(X_past; X_future). We hypothesize that capturing the predictive information is useful in RL,…

cs.AI2020★ 7 cited

Exploring Exploration: Comparing Children with RL Agents in Unified Environments

Eliza Kosoy, Jasmine Collins, David M. Chan +6

Research in developmental psychology consistently shows that children explore the world thoroughly and efficiently and that this exploration allows them to learn. In turn, this ear…

cs.CL2020★ 1 cited

A Dataset and Benchmarks for Multimedia Social Analysis

Bofan Xue, David Chan, John Canny

We present a new publicly available dataset with the goal of advancing multi-modality learning by offering vision and language data within the same context. This is achieved by obt…

cs.HC2020★ 28 cited

Scones: Towards Conversational Authoring of Sketches

Forrest Huang, Eldon Schoop, David Ha +1

Iteratively refining and critiquing sketches are crucial steps to developing effective designs. We introduce Scones, a mixed-initiative, machine-learning-driven system that enables…